Delete the first three rows of a dataframe in pandas

Question

I need to delete the first three rows of a dataframe in pandas.

I know df.ix[:-1] would remove the last row, but I can\'t figure out how to remove first

Answer 1

You can use python slicing, but note it's not in-place.

In [15]: import pandas as pd
In [16]: import numpy as np
In [17]: df = pd.DataFrame(np.random.random((5,2)))
In [18]: df
Out[18]:
          0         1
0  0.294077  0.229471
1  0.949007  0.790340
2  0.039961  0.720277
3  0.401468  0.803777
4  0.539951  0.763267

In [19]: df[3:]
Out[19]:
          0         1
3  0.401468  0.803777
4  0.539951  0.763267

Answer 2

df = df.iloc[n:]

n drops the first n rows.

Answer 3

df.drop(df.index[[0,2]])

Pandas uses zero based numbering, so 0 is the first row, 1 is the second row and 2 is the third row.

Answer 4

Use iloc:

df = df.iloc[3:]

will give you a new df without the first three rows.

Answer 5

A simple way is to use tail(-n) to remove the first n rows

df=df.tail(-3)

Answer 6

inp0= pd.read_csv("bank_marketing_updated_v1.csv",skiprows=2)

or if you want to do in existing dataframe

simply do following command